The Research Of Several Technologies In An Embroidery-CAD System

As the development of Computer Science, relation between subjects becomes very consanguineous, and the collaboration between subjects are becoming intensive. With the continous progress of the Network technology and the continous lucubration of the Artificial Intelligence(AI), the collaboration between traditional CAD system and these subjects becomes a notable trend of the CAD technological development, to do better collaboration between them has become a research subject of many scholars. The development of the CAD system are in the direction of Integration, Networking and the collaboration with Artificial Intelligence, the development are simulating the development of the Embroidery-CAD system. Embroidery-CAD system should develop not only according to its intrinsic characteristic, but also develop in the direction of collaboration with these subjects mentioned above.This paper presents the collaboration between CAD system and networking, AI etc., Do research to the problems in the system and do some comparison and design work based on the Embroidery-CAD system. The paper is composed of six parts. The first part presents an easy introduction to the CAD system, including the basic concept, the development history, the current status of the development in China and the development trends. The second part introduces the Embroidery-CAD system, which contains the background, design of the system model, the function of each module and the interrelation between modules. The third part begins with an introduction to embroidery module, mainly about the easy introduction to stitch and the design of stitch and embroidery structure. The fourth part discusses the network-collaboration module in system, including basic concept and principle of network-collaboration, the design of internet model and collaborative algorithm, and the research of the integration with the Embroidery-CAD system. The fifth part mainly focus on the Intelligence module, we discuss image filtering, edge detection, edge trace and exaction, shape recognition and stitch generation. The last part is a summary of the paper and the expectation.